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Added doctests to bucket sort (#2079)
* Added doctests to bucket sort * Missing typehint * Wrap long lines * updating DIRECTORY.md * Update bucket_sort.py * updating DIRECTORY.md * Update bucket_sort.py Co-authored-by: Christian Clauss <cclauss@me.com> Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
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* [Trie](https://github.com/TheAlgorithms/Python/blob/master/data_structures/trie/trie.py)
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## Digital Image Processing
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* [Change Brightness](https://github.com/TheAlgorithms/Python/blob/master/digital_image_processing/change_brightness.py)
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* [Change Contrast](https://github.com/TheAlgorithms/Python/blob/master/digital_image_processing/change_contrast.py)
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* [Convert To Negative](https://github.com/TheAlgorithms/Python/blob/master/digital_image_processing/convert_to_negative.py)
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* Dithering
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## Hashes
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* [Adler32](https://github.com/TheAlgorithms/Python/blob/master/hashes/adler32.py)
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* [Chaos Machine](https://github.com/TheAlgorithms/Python/blob/master/hashes/chaos_machine.py)
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* [Djb2](https://github.com/TheAlgorithms/Python/blob/master/hashes/djb2.py)
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* [Enigma Machine](https://github.com/TheAlgorithms/Python/blob/master/hashes/enigma_machine.py)
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* [Hamming Code](https://github.com/TheAlgorithms/Python/blob/master/hashes/hamming_code.py)
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* [Md5](https://github.com/TheAlgorithms/Python/blob/master/hashes/md5.py)
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#!/usr/bin/env python
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#!/usr/bin/env python3
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"""
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Illustrate how to implement bucket sort algorithm.
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"""Illustrate how to implement bucket sort algorithm."""
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Author: OMKAR PATHAK
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This program will illustrate how to implement bucket sort algorithm
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# Author: OMKAR PATHAK
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# This program will illustrate how to implement bucket sort algorithm
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Wikipedia says: Bucket sort, or bin sort, is a sorting algorithm that works
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by distributing the elements of an array into a number of buckets.
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Each bucket is then sorted individually, either using a different sorting
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algorithm, or by recursively applying the bucket sorting algorithm. It is a
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distribution sort, and is a cousin of radix sort in the most to least
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significant digit flavour.
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Bucket sort is a generalization of pigeonhole sort. Bucket sort can be
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implemented with comparisons and therefore can also be considered a
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comparison sort algorithm. The computational complexity estimates involve the
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number of buckets.
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# Wikipedia says: Bucket sort, or bin sort, is a sorting algorithm that works
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# by distributing the elements of an array into a number of buckets.
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# Each bucket is then sorted individually, either using a different sorting
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# algorithm, or by recursively applying the bucket sorting algorithm. It is a
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# distribution sort, and is a cousin of radix sort in the most to least
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# significant digit flavour.
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# Bucket sort is a generalization of pigeonhole sort. Bucket sort can be
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# implemented with comparisons and therefore can also be considered a
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# comparison sort algorithm. The computational complexity estimates involve the
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# number of buckets.
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Time Complexity of Solution:
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Worst case scenario occurs when all the elements are placed in a single bucket.
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The overall performance would then be dominated by the algorithm used to sort each
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bucket. In this case, O(n log n), because of TimSort
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# Time Complexity of Solution:
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# Worst case scenario occurs when all the elements are placed in a single bucket. The
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# overall performance would then be dominated by the algorithm used to sort each bucket.
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# In this case, O(n log n), because of TimSort
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#
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# Average Case O(n + (n^2)/k + k), where k is the number of buckets
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#
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# If k = O(n), time complexity is O(n)
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Average Case O(n + (n^2)/k + k), where k is the number of buckets
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If k = O(n), time complexity is O(n)
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Source: https://en.wikipedia.org/wiki/Bucket_sort
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"""
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DEFAULT_BUCKET_SIZE = 5
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def bucket_sort(my_list, bucket_size=DEFAULT_BUCKET_SIZE):
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def bucket_sort(my_list: list, bucket_size: int = DEFAULT_BUCKET_SIZE) -> list:
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"""
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>>> data = [-1, 2, -5, 0]
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>>> bucket_sort(data) == sorted(data)
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True
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>>> data = [9, 8, 7, 6, -12]
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>>> bucket_sort(data) == sorted(data)
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True
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>>> data = [.4, 1.2, .1, .2, -.9]
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>>> bucket_sort(data) == sorted(data)
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True
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>>> bucket_sort([])
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Traceback (most recent call last):
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...
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Exception: Please add some elements in the array.
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"""
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if len(my_list) == 0:
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raise Exception("Please add some elements in the array.")
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buckets[int((my_list[i] - min_value) // bucket_size)].append(my_list[i])
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return sorted(
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[buckets[i][j] for i in range(len(buckets)) for j in range(len(buckets[i]))]
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buckets[i][j] for i in range(len(buckets)) for j in range(len(buckets[i]))
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)
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if __name__ == "__main__":
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user_input = input("Enter numbers separated by a comma:").strip()
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unsorted = [float(n) for n in user_input.split(",") if len(user_input) > 0]
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print(bucket_sort(unsorted))
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assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
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assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]
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